2008
DOI: 10.2478/v10048-008-0032-9
|View full text |Cite
|
Sign up to set email alerts
|

The Evaluation of Expanded Uncertainty of Measurement Results in Direct Measurements Using the LabVIEW Environment

Abstract: The paper presents a possible application of integrated LabVIEW environment to the final evaluation of measurement results in direct measurement. The possibilities of presenting and visualizing the uncertainty of measurement results in a convenient and userfriendly form are also discussed. The topics presented in the paper were using the selected LabVIEW application.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0

Year Published

2010
2010
2022
2022

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 12 publications
(7 citation statements)
references
References 1 publication
0
7
0
Order By: Relevance
“…In practice, virtual measuring instruments are often used for determining the value of measurement errors. Examples of such instruments are presented in the papers [17], [18]. For the purpose of determining errors and uncertainties of measurements in the system shown in Fig.…”
Section: Labview (Laboratory Virtual Instrument Engineeringmentioning
confidence: 99%
“…In practice, virtual measuring instruments are often used for determining the value of measurement errors. Examples of such instruments are presented in the papers [17], [18]. For the purpose of determining errors and uncertainties of measurements in the system shown in Fig.…”
Section: Labview (Laboratory Virtual Instrument Engineeringmentioning
confidence: 99%
“…It concerns the statistical analysis of the set { x i } of independent measurements repeated n times. There are two benefits of repeating a measurement with a random error: an increase in the accuracy of the measurement by calculating the mean value, and the possibility to assess the uncertainty of this measurement [ 60 , 61 , 62 ].…”
Section: Verification Of Measurementsmentioning
confidence: 99%
“…More specifically, in this study thresholds are designed as a result of a reverse engineering process, inspired by the theory of expanded uncertainty. This theory introduces a coverage factor K that, once multiplied by the SD of the distribution, returns the limits of a confidence interval, within which the real value of the measured data falls with a defined probability α 50 . The K factors equal to 1.64, 1.96, and 2.58 and correspond to a probability α of 90%, 95%, and 99%, 51 respectively.…”
Section: Threshold‐based Fault Detection and Isolationmentioning
confidence: 99%